Paper Info
Title
Traffic and Statistical Multiplexing Characterization of 3D Video Representation Formats (Extended Version).
Abstract
The network transport of 3D video, which contains two views of a video scene, poses significant challenges due to the increased video data compared to conventional single-view video. Addressing these challenges requires a thorough understanding of the traffic and multiplexing characteristics of the different representation formats of 3D video. We examine the average bitrate-distortion (RD) and bitrate variability-distortion (VD) characteristics of three main representation formats. Specifically, we compare multiview video (MV) representation and encoding, frame sequential (FS) representation, and side-by-side (SBS) representation, whereby conventional single-view encoding is employed for the FS and SBS representations. Our results for long 3D videos in full HD format indicate that the MV representation and encoding achieves the highest RD efficiency, while exhibiting the highest bitrate variabilities. We examine the impact of these bitrate variabilities on network transport through extensive statistical multiplexing simulations. We find that when multiplexing a small number of streams, the MV and FS representations require the same bandwidth. However, when multiplexing a large number of streams or smoothing traffic, the MV representation and encoding reduces the bandwidth requirement relative to the FS representation.
Year
Venue
Field
2013
CoRR
Computer science,Bandwidth requirement,Real-time computing,Theoretical computer science,Smoothing,Bandwidth (signal processing),Statistical time division multiplexing,Multiplexing,Encoding (memory)
DocType
Volume
Citations 
Journal
abs/1311.5834
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Akshay Pulipaka1231.57
Patrick Seeling226634.77
Martin Reisslein31661114.91
Lina J. Karam467672.58